PROJECT TITLE :

Making 5G Adaptive Antennas Work for Very Fast Moving Vehicles

ABSTRACT:

Wireless systems increasingly depend upon the accurate information at the transmitter side of the transmitter-to-receiver propagation channel, to optimize the transmission adaptively. Some candidate techniques for fifth generation networks want the channel data for tens of antennas to perform adaptive beamforming from the base station towards the mobile terminal. These techniques cut back the radiated power and also the energy consumption of the bottom station. Unfortunately, they fail to deliver the targeted quality of service to quick moving terminals such as connected vehicles. Indeed, due to the movement of the vehicle throughout the delay between channel estimation and knowledge transmission, the channel estimate is outdated. In this paper, we have a tendency to propose 3 new schemes that exploit the ?Predictor Antenna? concept. This recent concept is based on the observation that the position occupied by one antenna at the front of the vehicle, will presently be occupied by another antenna at the back. Estimating the channel of the ?front? antenna will thus later help beamforming towards the ?back? antenna. Simulations show that our proposed schemes make adaptive beamforming work for vehicles moving at hurries up to 300 km/h.


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